Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Lisa Mais"'
Autor:
Geoffrey W Meissner, Aljoscha Nern, Zachary Dorman, Gina M DePasquale, Kaitlyn Forster, Theresa Gibney, Joanna H Hausenfluck, Yisheng He, Nirmala A Iyer, Jennifer Jeter, Lauren Johnson, Rebecca M Johnston, Kelley Lee, Brian Melton, Brianna Yarbrough, Christopher T Zugates, Jody Clements, Cristian Goina, Hideo Otsuna, Konrad Rokicki, Robert R Svirskas, Yoshinori Aso, Gwyneth M Card, Barry J Dickson, Erica Ehrhardt, Jens Goldammer, Masayoshi Ito, Dagmar Kainmueller, Wyatt Korff, Lisa Mais, Ryo Minegishi, Shigehiro Namiki, Gerald M Rubin, Gabriella R Sterne, Tanya Wolff, Oz Malkesman, FlyLight Project Team
Publikováno v:
eLife, Vol 12 (2023)
Precise, repeatable genetic access to specific neurons via GAL4/UAS and related methods is a key advantage of Drosophila neuroscience. Neuronal targeting is typically documented using light microscopy of full GAL4 expression patterns, which generally
Externí odkaz:
https://doaj.org/article/78a91ebc754d4c3798f4ad739340bae0
Autor:
Gudrun Ihrke, Robert Svirskas, Gerald M. Rubin, Wyatt Korff, Peter Hirsch, Barry J. Dickson, Konrad Rokicki, Dagmar Kainmueller, Lisa Mais, Claire Managan, Geoffrey W. Meissner, Kaiyu Wang
Studies of individual neurons in the Drosophila nervous system are facilitated by transgenic lines that sparsely and repeatably label respective neurons of interest. Sparsity can be enhanced by means of intersectional approaches like the split-GAL4 s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b1cb6e2bebd3e6ee4a33ab9b9b5397fb
http://edoc.mdc-berlin.de/20526/1/20526oa.pdf
http://edoc.mdc-berlin.de/20526/1/20526oa.pdf
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585945
ECCV (25)
ECCV (25)
We present a novel method for proposal free instance segmentation that can handle sophisticated object shapes which span large parts of an image and form dense object clusters with crossovers. Our method is based on predicting dense local shape descr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::69d01917342b48d508a142d279dbb24d
https://doi.org/10.1007/978-3-030-58595-2_18
https://doi.org/10.1007/978-3-030-58595-2_18
Publikováno v:
Computer Vision – ECCV 2020 Workshops ISBN: 9783030664145
ECCV Workshops (1)
ECCV Workshops (1)
Probabilistic convolutional neural networks, which predict distributions of predictions instead of point estimates, led to recent advances in many areas of computer vision, from image reconstruction to semantic segmentation. Besides state of the art
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7d13b48b63cfeb3fd1d3e945b77bcee
https://doi.org/10.1007/978-3-030-66415-2_29
https://doi.org/10.1007/978-3-030-66415-2_29
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110239
ECCV Workshops (6)
ECCV Workshops (6)
Segmentation and tracking of epithelial cells in light microscopy (LM) movies of developing tissue is an abundant task in cell- and developmental biology. Epithelial cells are densely packed cells that form a honeycomb-like grid. This dense packing d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ab51d94ead5a842af232557b386dbd09
https://doi.org/10.1007/978-3-030-11024-6_33
https://doi.org/10.1007/978-3-030-11024-6_33